Kazang is one of Southern Africa’s leading providers of value-added transaction services. It provides prepaid voice, mobile through electricity, and data proprietary mobile vending terminals that handle thousands of micro-payments every minute. Other services include DSTV subscription payments and RICA registration.
As a Data Engineer, you will have the opportunity to play a leading role in the design and development of an ETL solution to centralize data from various sources into a single environment.
This solution will be used across businesses to empower both Analytics and Data Science. The Data Engineer will need to play a role in the designing of the architecture around the ETL pipelines, but also in the handling of the data itself to create, maintain and ensure the integrity of features for business needs.
The successful applicant will work alongside Software Engineers, Data Scientists, and Business Analysts to scope business and technical requirements in their day-to-day role.
This role requires a candidate with a strong passion for data who is excited to be involved in the decision-making and implementation of such a system from conception to implementation.
The responsibilities of the position include:
This role requires a candidate with a strong passion for data who is excited to be involved in the decision-making and implementation of such a system from conception to implementation.
Key Responsibilities:
• Develop an understanding of where and how data is currently stored within our environments.
• Formulate strategies on how to aggregate data across multiple systems into a single repository for both analytics as well as data science.
• Implement the above strategies to improve our data warehouse and to make a single-source-of-truth database available for consistent analytics across our company.
• Build and maintain a feature store for use in Data Science.
• Develop dashboards in PowerBI.
It is a full-time job and its location is in Cape Town, South Africa. The deadline is on the 18th of January, 2022.
Requirements:
• Minimum 3 years experience as a Data Engineer
• Extensive experience in MySQL, Postgres, AWS, Redshift, Python, R, Linux
Minimum requirements:
• BSc in Computer Science Degree or BSc in Statistics would be an advantage
Number of positions available: One
Commencement Date: Immediately
Click here to apply.
